Deep vein thrombosis (DVT) is a silent killer with millions reported fatalities worldwide. Covid-19 pandemic has brought new attention to the disease. The condition starts with a small clot in a person’s leg with minimal to no manifestations in the beginning. Often, symptoms go undiagnosed, misdiagnosed, or completely unnoticed leading to the clot moving up to block an artery leading to the lungs (called pulmonary embolism) which can result in sudden death, as well as a host of other serious symptoms. DVT is a curable disease, if detected early. Late detection leads to thousands of dollars in therapy and even more for surgical cure. There is an unmet need in the market for early automated detection and tracking of DVT. In multiple cases the progression of DVT is not properly tracked. Often, tracking the progression accurately can save thousands of dollars in patient expenditure. All in all, there is a market for technology that can predict DVT vulnerability, track progression and provide automated checks for time to time patient care. Our vision is to achieve a demonstrable reduction in the incidence of DVT/PE . Our mission is to Combine state-of-the art computational, simulation & AI/ML tech for avoidance and mitigation strategies. Reduce the incidence of false positives & negatives via improved data processing & image analysis, & Broaden the accessibility to all.

Holloman High Speed Test Track - Simulation and Modeling, HPC, CFD, LES, Predictive Science

Department of Mechanical Engineering

Department of Mechanical Engineering

LES Modeling

Exascale Computing, Multiphysics simulations with Albany

High Order Scheme, Spectral Method, Modeling, HPC, Linear Algebra, Finite Element Method

Enhanced Oil Recovery, CO2 Sequestration, HPC, CFD

Summer faculty position in the Computational Science & Engineering Division at ORNL

Worked at Fluent Inc. which is now owned by ANSYS Inc.